Federal Reserve Economic Data

Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Midland County, MI

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Midland County, MI
Series ID MHICILBMI26111A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1989-01-01 to 2023-01-01
Last Updated 2024-12-20 3:13 AM CST
Notes The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs.

Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income.

A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation.
DATE VALUE
1989-01-01 33562
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 37512
1994-01-01 .
1995-01-01 42088
1996-01-01 .
1997-01-01 45043
1998-01-01 47528
1999-01-01 44134
2000-01-01 45523
2001-01-01 44959
2002-01-01 44901
2003-01-01 45751
2004-01-01 46078
2005-01-01 44927
2006-01-01 47036
2007-01-01 48197
2008-01-01 48473
2009-01-01 48501
2010-01-01 47605
2011-01-01 49957
2012-01-01 50371
2013-01-01 49031
2014-01-01 48225
2015-01-01 55708
2016-01-01 54335
2017-01-01 56657
2018-01-01 54722
2019-01-01 65257
2020-01-01 57806
2021-01-01 64840
2022-01-01 72365
2023-01-01 69428

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